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EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes

About

This technical report introduces EXAONE 4.0, which integrates a Non-reasoning mode and a Reasoning mode to achieve both the excellent usability of EXAONE 3.5 and the advanced reasoning abilities of EXAONE Deep. To pave the way for the agentic AI era, EXAONE 4.0 incorporates essential features such as agentic tool use, and its multilingual capabilities are extended to support Spanish in addition to English and Korean. The EXAONE 4.0 model series consists of two sizes: a mid-size 32B model optimized for high performance, and a small-size 1.2B model designed for on-device applications. The EXAONE 4.0 demonstrates superior performance compared to open-weight models in its class and remains competitive even against frontier-class models. The models are publicly available for research purposes and can be easily downloaded via https://huggingface.co/LGAI-EXAONE.

Kyunghoon Bae, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Choi, Kyubeen Han, Seokhee Hong, Junwon Hwang, Taewan Hwang, Joonwon Jang, Hyojin Jeon, Kijeong Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Euisoon Kim, Hyosang Kim, Jihoon Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Gwangho Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Sangha Park, Young Min Paik, Yongmin Park, Youngyong Park, Sanghyun Seo, Sihoon Yang, Heuiyeen Yeen, Sihyuk Yi, Hyeongu Yun• 2025

Related benchmarks

TaskDatasetResultRank
Instruction FollowingIFEval--
292
Instruction FollowingIFBench
Pass@1 (Strict)34.8
68
SafetyWildJailbreak--
21
Agentic Tool-useτ2-Bench (Tau-bench) Retail and Telecom
Overall Success Rate16.7
17
MathIMO-AnswerBench
Score35.8
9
Long-context ReasoningAA-LCR
Score8
8
Mathematical Problem SolvingHMMT Nov 2025
Score30.9
8
MathematicsHRM8K
Score73.7
8
KnowledgeKMMLU-Pro
Score60
7
Agentic Tool-usetau2-bench Retail--
6
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